Tissue-based Immunohistochemical Biomarker Expression in Malignant Glandular Lesions of the Uterine Cervix: A Systematic Review.

Author(s): Lee S,  Sahasrabuddhe VV,  Mendoza-Cervantes D,  Zhao R,  Duggan MA

Journal: Int J Gynecol Pathol

Date: 2018 Mar

Major Program(s) or Research Group(s): BGCRG

PubMed ID: 28582347

PMC ID: not available

Abstract: Literature published between 1975 and 2015 was systematically reviewed to conduct a case-comparator study of tissue based, immunohistochemical biomarker expression among malignant glandular histotypes of the uterine cervix so as to identify differences that could have diagnostic utility. Of the 902 abstracts, 154 articles had a full review, and 52 were included. Biomarker positivity in cases of adenocarcinoma in situ (AIS) were compared with atypical lobular endocervical glandular hyperplasia and invasive histotypes grouped as mucinous, endometrioid, adenosquamous, serous clear cell, minimal deviation-gastric type, and mesonephric carcinomas (7 AIS case-comparators). The invasive histotypes were compared with each other (30 adenocarcinoma case-comparators). Biomarker positivity in all 37 case-comparators was calculated as weighted averages of histotype-specific estimates. Unsupervised hierarchical clustering examined differences in expression and were visualized via heatmaps and dendrograms. Of the 56 biomarkers tested, 1 or more of 15 showed a 50% or more difference in positive expression in 6 (86%) of the AIS and 21 (70%) of the adenocarcinoma case-comparators. There was no data on the comparison of serous clear cell to mesonephric carcinoma. AIS case-comparator biomarkers were HIK1083, alpha SMA, PAX8, VIL1, CEA, p53, p16, and CD10, and only alpha SMA had a difference of 100%. The adenocarcinoma case-comparator biomarkers were CEA, p53, Claudin18, HIK1083, p16, Calretinin, CD10, PR, Chromogranin, MUC6, Vimentin and p63, and none had a difference of 100%. Biomarker expression in the discrimination of AIS from invasive adenocarcinoma, and the invasive histotypes from each other is understudied. One or more of 15 biomarkers could have diagnostic utility.